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Graphical models
Results: 1083

#	Item
861	Graphical models and message-passing algorithms: Some introductory lectures Martin J. Wainwright 1 Introduction Graphical models provide a framework for describing statistical dependencies in Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-01-08 13:55:21 Probability and statistics Markov models Markov processes Bayesian statistics Statistical models Markov random field Markov chain Directed acyclic graph Markov property Statistics Graph theory Graphical models
862	High-dimensional Ising model selection using l1-regularized logistic regression Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2010-04-19 13:02:07 Statistical theory Regression analysis Graphical models Markov random field Maximum likelihood Fisher information Ising model Logistic regression Linear regression Statistics Estimation theory Econometrics
863	Journal of Machine Learning Research[removed]2835 Submitted 12/12; Revised 6/13; Published 9/13 Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-28 23:54:24 Graphical models Operations research Belief propagation Coding theory Probability theory Logarithm Projection Randomized algorithm Dynamic programming Mathematics Mathematical analysis Theoretical computer science
864	The Annals of Statistics 2013, Vol. 41, No. 6, 3022–3049 DOI: [removed]AOS1162 © Institute of Mathematical Statistics, 2013 STRUCTURE ESTIMATION FOR DISCRETE GRAPHICAL Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-01-07 18:49:57 Covariance and correlation Probability theory Graph operations Markov random field Clique Tree decomposition Graph Matrix Covariance matrix Graph theory Mathematics Graphical models
865	A New Look at Survey Propagation and Its Generalizations ELITZA MANEVA, ELCHANAN MOSSEL, AND MARTIN J. WAINWRIGHT University of California—Berkeley, Berkeley, California Abstract. This article provides a new conceptual Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2007-07-31 14:18:53 Constraint programming Graphical models Probability theory Logic in computer science Boolean satisfiability problem Belief propagation Markov random field Constraint satisfaction problem Unit propagation Theoretical computer science Applied mathematics Mathematics
866	P ROCEEDINGS OF N EURAL I NFORMATION P ROCESSING S YSTEMS 2007 EXTENDED VERSION CONTAINING ADDITIONAL TECHNICAL APPENDIX Loop Series and Bethe Variational Bounds in Attractive Graphical Models Erik B. Sudderth and Martin Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2008-01-15 17:07:01 Networks Statistics Applied mathematics Belief propagation Coding theory Markov random field Fold Function Bayesian network Graphical models Mathematics Probability theory
867	R Foundations and Trends in Machine Learning Vol. 1, Nos. 1–[removed]–305 c 2008 M. J. Wainwright and M. I. Jordan Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2009-01-22 11:02:00 Statistical models Graph operations Clique Tree decomposition Factor graph Directed acyclic graph Graph Clique problem Path decomposition Graph theory Graphical models Bayesian statistics
868	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 54, NO. 6, JUNE[removed]Log-Determinant Relaxation for Approximate Inference in Discrete Markov Random Fields Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-08-04 21:00:48 Graphical models Probability theory Markov models Statistical models Bayesian statistics Belief propagation Markov random field Markov chain Entropy Statistics Probability and statistics Mathematics
869	Maximizing the Spread of Influence through a Social Network David Kempe ∗ Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2003-06-07 11:11:35 Networks Network theory Graphical models Submodular set function Centrality Random graph Connectivity Flow network Topological sorting Graph theory Mathematics Combinatorics
870	LEGER Analytics Path Analysis What is Path Analysis? Suppose we want to understand what influences Add to Reading List Source URL: www.leger360.com Language: English - Date: 2013-10-30 15:05:36 Psychometrics Statistical models Econometrics Path analysis Structural equation modeling Latent variable Customer satisfaction Environment variable Analysis Statistics Regression analysis Graphical models

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